基本信息
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职业迁徙
个人简介
His research focuses on solving operational problems involving social network data using probabilistic models, network algorithms, and modern statistical methods. Some of the topics he studies in the social networks space include predicting the popularity of content, finding online extremists, and geo-locating users.
His broader interests cover data driven approaches to investing in startup companies, non-traditional choice modeling, algorithmic sports betting, and biometric data.
His broader interests cover data driven approaches to investing in startup companies, non-traditional choice modeling, algorithmic sports betting, and biometric data.
研究兴趣
论文共 60 篇作者统计合作学者相似作者
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Yen-Shao Chen,Tauhid Zaman
PLOS ONEno. 3 (2024): e0299977-e0299977
arxiv(2024)
引用0浏览0引用
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PNAS nexusno. 5 (2024): pgae161-pgae161
PLOS ONEno. 5 (2023): e0284501-e0284501
Michael Rossetti,Tauhid Zaman
PLOS ONEno. 5 (2023): e0283971-e0283971
Michael Rossetti,Tauhid Zaman
arxiv(2023)
semanticscholar(2022)
arxiv(2022)
Research Square (Research Square) (2022)
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D-Core
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